{"id":"W4390055611","doi":"10.1111/eva.13628","title":"Local adaptation with gene flow in a highly dispersive shark","year":2023,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Parks and Wilderness Society","funders":"National Research Foundation; National Science Foundation","keywords":"Biology; Local adaptation; Gene flow; Population genomics; Ecology; Adaptation (eye); Population; Evolutionary biology; Genetic divergence; Genetic diversity; Genetic variation; Genomics; Genome; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755753,0.000154369,0.0002188238,0.0007976228,0.0003138994,0.0003549774,0.0002255789,0.000272381,0.0007431825],"category_scores_gemma":[0.0004785068,0.0001343053,0.0001929065,0.0005749388,0.0005857716,0.0001806565,0.0004041468,0.0002041613,0.00007474366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981581,"about_ca_system_score_gemma":0.0001314177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187073,"about_ca_topic_score_gemma":0.003372872,"domain_scores_codex":[0.9998075,0.0000397482,0.00001204516,0.00007324701,0.00003630994,0.00003104907],"domain_scores_gemma":[0.9996582,0.00009502657,0.000150741,0.00002365559,0.00003034004,0.00004193339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003480914,0.0000480059,0.835492,0.00003599198,0.0001675511,0.0004533186,0.0008517381,0.001033942,0.1559072,0.0001797013,0.00004399739,0.005438467],"study_design_scores_gemma":[0.000003887388,0.00006277217,0.9975865,0.00000384237,0.00001766183,0.0001407695,0.0002819937,0.0007736021,0.0009895168,0.00006834069,0.00006624684,0.00000485545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997749,0.00001182504,0.0001457484,0.000002989473,4.20175e-7,7.808971e-7,0.00001510505,0.000001461637,0.00004676301],"genre_scores_gemma":[0.999778,0.00000506691,0.0001499123,0.000004200712,8.971261e-7,0.000001183592,0.00002450785,7.999228e-7,0.00003548411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002187073,"threshold_uncertainty_score":0.004348695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007282214602116403,"score_gpt":0.2075167306311125,"score_spread":0.2002345160289961,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}